Dataset Card for Street Videos Dataset

This dataset contains a collection of street videos designed to support tasks such as video classification, object detection, and urban scene analysis. Each video captures various street environments, including urban settings, pedestrian areas, and traffic scenarios, to provide diverse training data for computer vision models.

Dataset Details

Dataset Description

This dataset contains videos of street scenes contributed by various sources. The videos are intended to enable the development and benchmarking of models that can:

Classify activities or events in street scenes.
Detect objects such as pedestrians, vehicles, or traffic signs.
Support surveillance, traffic monitoring, or autonomous navigation systems.

The dataset is ideal for training and evaluating models for urban computer vision and video analysis applications.

Uses

Direct Use

Training video classification models to recognize activities in street scenes.
Fine-tuning object detection models for urban environments.
Research in autonomous navigation and smart city technologies.

Out-of-Scope Use

Real-time surveillance without proper ethical considerations.
Commercial use without proper attribution under CC BY 4.0.
Any use that attempts to identify individuals in videos.

Dataset Structure

Each sample consists of:

A video (.mp4 or .avi) stored in the videos/ directory.

Dataset Creation

Curation Rationale

The dataset was curated to support research and development in urban computer vision and video analysis. The diversity in locations, times of day, and activities enhances model generalization and robustness.

Source Data

Data Collection and Processing

Videos were collected from various urban environments under different lighting and weather conditions. All videos were manually reviewed for quality and relevance.

Who are the source data producers?

Anonymous contributors capturing street footage. No personal data was collected.

Annotations

Annotation process

Videos are paired with descriptive metadata where applicable. Annotations for specific objects or activities may be provided in separate files or require manual labeling by users.

Personal and Sensitive Information

No personally identifiable or sensitive data is included in the dataset.

Bias, Risks, and Limitations

The dataset may not include all possible urban environments or rare events.
Low-light or extreme weather conditions may be underrepresented.
Models trained on this dataset may not generalize well to all real-world urban scenarios.

Recommendations

Combine with other video datasets for broader coverage.
Use only for academic, non-commercial experimentation unless explicitly licensed.

Contact

For queries or collaborations related to datasets, contact at :
- [email protected]
- [email protected]

Citation

BibTeX:

@misc{streetvideos2025,
  title = {Street Videos Dataset},
  author = {Anonymous Contributors},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/<your-org>/street-videos}},
  note = {Dataset available under CC BY 4.0 license}
}